100 Revenue-Centric Google and Meta Prompts for DTC Brands

May 28

I’m sharing 100 of my favorite AI prompts to help direct-to-consumer (DTC) brands grow revenue through smarter Google and Meta advertising. These prompts cover everything from high-level ad strategy and creative ideas to audience targeting, performance analysis, A/B testing, conversion rate optimization (CRO), and beyond – all in a warm, conversational style. In a hurry? Here are five quick example prompts to give you a taste of what’s inside (each prompt is framed as I would use it, with a brief setup followed by the prompt in bold you can copy):

When planning budget allocation: “If I have a total of $10,000 to spend this month across Google and Meta ads, how should I split it to maximize ROI for a sustainable fashion DTC brand?”
For brainstorming creative angles: “Generate three fresh ad campaign ideas highlighting the eco-friendly materials of our products to emotionally resonate with environmentally conscious shoppers.”
To refine audience targeting: “Based on my brand’s profile (organic skincare for millennials), what new audience segments or lookalike audiences on Facebook could I test to boost customer acquisition?”
When diagnosing performance drops: “Our Facebook ad ROAS fell from 3.0 to 1.8 this week – what potential causes should I consider and how can I address them to get performance back on track?”
For CRO improvements: “Pretend you’re a first-time visitor on my DTC product page – what elements might confuse or deter you from purchasing, and how can I improve them to increase conversions?”

Each prompt in the full list below is written in natural language with a first-person perspective, just as I use them. Let’s dive into the prompts, organized by category, so you can easily find what you need.

Ad Strategy

Ad Strategy is all about seeing the big picture and making data-informed decisions on where and how to invest for growth. I’ve spent years optimizing ad budgets and campaigns, and one pattern stands out: a solid strategy upfront can unlock outsized revenue gains. These prompts help me clarify objectives, allocate spend wisely, and plan campaigns that align with both short-term sales and long-term brand goals. Here are some of my go-to strategy prompts:

When I’m starting a new campaign from scratch, I ask the AI to outline a full-funnel ad strategy: “Given a DTC brand that sells [Product], what would a 3-month Google and Meta ads strategy look like – from awareness to retargeting – to maximize revenue growth on a $50k/month budget?”
If I feel overwhelmed by too many ideas, I’ll prompt for prioritization: “I have ten marketing ideas for next quarter. How can I prioritize these initiatives (Google Search Ads, Facebook video ads, influencer partnerships, etc.) based on potential ROI and ease of execution for a small DTC team?”
Sometimes I need to allocate budget across channels, so I ask: “What percentage of my ad budget should go to Google versus Meta for a DTC fitness apparel brand, and why? Provide a rationale for the split to achieve both sales and customer growth.”
To ensure my strategy stays customer-centric, I prompt: “Help me refine my ad strategy by focusing on the customer journey. How can I use Google Ads and Meta Ads at each stage (awareness, consideration, decision) to guide a first-time visitor toward becoming a loyal customer?”
When I’m not sure which metrics to focus on, I have the AI identify key performance indicators: “For a DTC brand aiming for profitable growth, what are the top 5 KPIs I should track in my Google and Meta ad campaigns, and what strategic decisions should each inform?”
If our industry is changing, I’ll ask for trend insights: “How should I adjust my Google/Facebook ad strategy in light of recent trends or algorithm changes? (e.g., shifts in privacy rules or AI advancements in 2025).” This ensures I’m not strategizing based on outdated assumptions.
For big promotional periods, I use a prompt to plan seasonal campaigns: “Outline a holiday season ad strategy for my DTC gift product: how early should I start, how to allocate budget during Black Friday/Cyber Monday vs. Christmas, and how to maximize revenue while controlling ad costs?”
When I need to scale a winning campaign, I ask: “I have a Facebook ad set that’s performing well with a $100/day spend. What strategy should I use to scale this – increase budget gradually, broaden the audience, duplicate ad sets, or something else – to grow revenue without tanking performance?”
To integrate efforts across platforms, I might prompt cross-channel synergy: “How can I use insights from Google Ads (search queries, top keywords) to refine my Meta (Facebook/Instagram) ads targeting and creatives, ensuring a cohesive strategy that maximizes total online sales?”
If I suspect we’re missing opportunities, I directly ask: “What aspects of ad strategy do DTC founders often overlook that could unlock more revenue? Analyze common blind spots (like neglecting upsells, underutilizing lookalike audiences, etc.) and how I can address them in my plan.”
For long-term planning, I use a prompt like: “Help me draft a high-level digital ad roadmap for the next 12 months for my DTC brand, including when to experiment with new channels (e.g., YouTube, TikTok) beyond Google and Meta, and how to budget for testing versus proven campaigns.”
When balancing growth vs. efficiency, I ask: “If my goal is to double revenue while maintaining profitability, how should my Google/Meta ad strategy adjust? For example, when is it wise to accept a higher customer acquisition cost for the sake of growth, and when to focus on efficiency?”
To align ads with the brand’s mission (important for impact-driven businesses), I prompt: “Our brand stands for [core values]. How can I reflect this mission in my ad strategy on Google and Meta in a way that drives revenue but also builds brand loyalty and trust with our audience?”

Creative

Great creatives can make or break your campaign – I’ve learned this the hard way. In fact, research by Nielsen shows that creative quality can drive nearly half of a campaign’s sales upliftgetrecast.com, far more than targeting or budget alone. So I put a lot of love into prompts that tease out compelling angles, copy, and visuals. My tone here is imaginative and visionary because I want the AI to push the boundaries of typical ad content, while staying authentic to our brand voice. These prompts help breathe new life into ads when I or my team feel creatively stuck:

When I need fresh ad angles, I’ll say: “Our product is [unique feature or benefit]. Give me 5 creative angles for Facebook ads that highlight this in different ways (e.g., a story of transformation, a behind-the-scenes of how it’s made, a humorous take on the problem it solves).”
For headline brainstorming, I prompt: “I’m writing a Google Search ad for my [Product]. Propose five compelling headlines that incorporate our USP (unique selling proposition) and a sense of urgency, staying within Google’s character limits.”
To maintain a consistent brand voice, I ask: “Help me write an Instagram ad caption in our brand voice (playful, empowering) promoting our new product launch. It should feel personal and visionary, speaking directly to the reader’s aspirations, and end with a warm call-to-action.”
If an ad feels dull, I request punch-up suggestions: “Here’s an ad text I have: ‘Our moisturizer keeps skin hydrated.’ How can I make this copy more persuasive and intriguing? Perhaps add an emotional hook or a question to draw the reader in.”
When I want to leverage social proof in creatives, I use: “Draft an ad copy that incorporates a real customer testimonial to build trust. Make it flow naturally, e.g., start with the customer’s quote about their experience, then segue into an offer or call-to-action for our DTC brand.”
For visual concepts, I might say: “Suggest three visual themes for a Facebook Carousel ad for our [Product]. For each, describe what images or videos to use and what story they tell, ensuring they grab attention in the feed (for example: before-and-after images, lifestyle imagery, etc.).”
When tackling ad fatigue, I prompt the AI for new ideas: “Our audience has seen our current ads too often and performance is dipping. Can you help brainstorm a completely new creative concept or motif for our next ad set that still aligns with our brand? Something unexpected that will re-engage our existing audience.”
I often want emotional resonance, so I ask: “Come up with an ad copy that appeals to the emotions of someone who [describe customer situation]. For instance, speak to the frustration of using flimsy phone chargers if I sell a durable charger, then present our product as the relieving solution.”
To ensure clarity and persuasion, I use classic frameworks: “Using the AIDA framework (Attention, Interest, Desire, Action), help me draft a Facebook ad text for our luxury home decor item – it should hook busy scrolling users and entice them to click through to learn more.”
I don’t shy away from humor or bold style: “Our brand is usually serious, but I want to test a bold, humorous ad. Can you write a fun and quirky Facebook ad copy for our product (a smart water bottle) that playfully jokes about common hydration mistakes, while still highlighting the product’s value?”
When focusing on Google Ads, I prompt for ad extensions and copy synergy: “Suggest a set of Google Ads copy (headlines and descriptions) for our sale, and include ideas for ad extensions (like callouts or sitelinks) that reinforce the message and could boost our click-through rate.”
If I have multiple product variants or use-cases, I ask: “Propose creative concepts for a series of ads, each targeting a different use-case of our product. For example, if we sell a multi-purpose kitchen gadget, one ad for busy parents, one for college students, one for chefs – each with tailored messaging that feels personal.”
Before investing in a big creative production, I use AI to storyboard: “Outline a 15-second Instagram Story video ad for our brand’s flagship product. Describe the scenes or key frames (text overlays, visuals) and the narrative arc that will engage viewers and end with a clear call-to-action swipe-up.”
Lastly, I’ll sometimes prompt for creative diversity: “Give me ideas for two very different ad creatives for the same offer: one that’s minimalist and elegant, and another that’s loud and vibrant. I want to A/B test contrasting styles, so include suggestions on tone, imagery, and copy for each approach.”

Audience

Understanding and targeting the right audience is crucial, but it’s gotten trickier in the post-iOS14 world of limited tracking. Still, deep customer insight is something I obsess over. I often remind myself: a highly relevant message to a well-defined audience beats a generic blast every time. In this section, I use prompts to refine who I’m talking to, discover new segments, and ensure I’m aligning ads with what those people care about. These prompts tap into the AI’s pattern recognition to surface audience insights I might miss:

To define customer personas, I ask: “Based on what you know about DTC shoppers, help me sketch out 3 core customer personas for my [Product]. Describe each persona’s demographics, interests, and pain points, and suggest what kind of ad messaging would appeal most to each.”
When I want to find new audience segments, I prompt: “Our current audience is mostly [current demographic]. What adjacent or untapped audiences on Facebook or Google should we experiment with? Provide 2–3 suggestions (e.g., if we target young moms, maybe try young dads or gift shoppers) and why they might be promising for our brand.”
For Lookalike Audience ideas, I use: “I have a customer email list of 5,000 buyers. What lookalike audiences should I create with it on Facebook, and what criteria (size %, region, etc.) might work best to find high-quality new customers similar to my best buyers?”
If I need to broaden or narrow targeting, I ask: “Our Facebook ads have been running to a very broad audience and our relevance is dropping. What’s a strategy to refine our audience targeting without making it too narrow? For instance, should I layer interests or behaviors, or use custom audiences based on site visitors?”
When data is scarce, I’ll prompt on qualitative understanding: “Imagine you are an avid user of [Product category]. What would your interests, values, or communities be? How can I target someone like you on Meta platforms in terms of interests or behaviors to ensure my ads reach the right people?”
To improve Google Ads targeting (search intent), I ask: “What search queries or intent signals indicate a high-value potential customer for [Product]? Help me identify which keywords to focus on (or negative keywords to exclude) to target the most relevant audience segments via Google Search Ads.”
For retargeting audience strategy, I prompt: “Suggest effective retargeting audience segments for my DTC site. For example, people who viewed product pages but didn’t purchase, or past purchasers for upsells. How long should each audience’s look-back window be (e.g., 7 days, 30 days) and what message might resonate with each?”
When entering a new market or region, I ask: “We’re expanding internationally to [Country]. How can I research and adjust my audience targeting for that country’s culture and behaviors? What local audience interests or demographics should I consider for my ads to succeed there?”
For high-LTV customers, I prompt: “Analyze what traits might characterize customers with the highest lifetime value for our brand (e.g., repeat purchase behavior, certain demographic traits). How can I use Facebook’s targeting or Google’s audience insights to specifically reach more people who fit that high-LTV profile?”
If I worry we’re missing the mark, I’ll ask: “Our ads are getting clicks but few conversions. Could it be an audience mismatch? What signs should I look for to determine if I’m targeting the wrong audience, and how might I adjust my targeting strategy to improve relevance and conversion rates?”
To leverage community and influence, I use: “What online communities, influencers, or content might my target audience engage with? For instance, if I sell vegan snacks, identify some interests or pages (like specific vegan influencers, YouTube channels, forums) that I could target or use for inspiration in my Facebook ad targeting.”
For audience messaging alignment, I prompt: “Take one of my customer personas (e.g., ‘Eco-conscious Emma’ who values sustainability) and brainstorm how I can tailor not just targeting but also ad content specifically for her. What language, imagery, or offers would resonate most strongly with that persona?”
When scaling, I might use broad targeting with AI assistance: “Facebook’s algorithm can sometimes find the right people if I go broad. If I were to use minimal targeting (just age/location) for a scaling campaign, what can I do in the ad creative and copy to ensure the right people still feel targeted and understood by the message?”
Finally, I often check my biases: “Challenge my assumptions about my audience. Based on similar DTC brands, are there any surprising audience segments or niche groups that might actually be interested in our product that I haven’t considered? How could I test those waters without blowing my budget?”

Performance

Once ads are running, performance data is my compass. But raw data can be overwhelming – that’s where AI prompts help turn numbers into narratives and actionable insights. In this section, I adopt a diagnostic tone: curious, analytical, yet optimistic. I want to catch issues early and double down on what works. These prompts help me interpret metrics and trends so I can continuously optimize revenue outcomes:

When I need a performance overview, I ask: “Help me analyze last week’s ad performance. Imagine I have these key stats (CTR, conversion rate, CPA, ROAS) for Google and Meta – what story do they tell? For instance, if Google Ads CTR improved but conversions dropped, what might be happening and what should I investigate?”
If ROAS (Return on Ad Spend) changes, I prompt: “Our ROAS on Facebook ads went from 2.5 down to 1.5 in a month. What are the possible causes for such a drop? List out factors like audience saturation, creative fatigue, competition, tracking issues, etc., and how I might confirm and address each one.”
To focus on cost efficiency, I ask: “What are some ways I can lower my customer acquisition cost (CAC) on Google and Meta without sacrificing volume? I’m looking for strategies like dayparting, bid adjustments, creative refreshes, or targeting tweaks that can improve efficiency.”
When a particular metric stands out, I might say: “Our Google Ads click-through rate is high, but the conversion rate on site is low for that traffic. What does this discrepancy suggest, and how can I improve the post-click experience or targeting so that clicks turn into sales?”
For benchmarking, I prompt: “What are typical performance benchmarks for DTC e-commerce ads in our niche? For example, what’s a good CTR, CPA, or ROAS for a brand spending in the $20k/month range on Facebook Ads in 2025? Use any industry knowledge to help gauge if our numbers are strong or need improvement.”
If I suspect an attribution issue, I ask: “Facebook is reporting a certain number of conversions, but Google Analytics shows a different story for the same period. What might cause this tracking discrepancy, and how can I adjust my interpretation of performance or use tools (like meta’s Conversion API or Google’s Attribution models) to get a clearer picture of real results?”
When I want to improve a specific metric, e.g. conversion rate, I prompt: “Our Facebook ad click-through rate is good, but conversion rate from that traffic is only 1%. Give me a checklist of things to investigate and optimize – from landing page speed and relevance to audience-target fit – to raise that conversion rate and thus boost overall revenue.”
To systematically approach performance drops, I use: “Create a troubleshooting guide for when my Google Ads performance suddenly declines. For instance, step 1: check if any campaigns got limited by budget; step 2: examine search term report for new irrelevant traffic; step 3: see if competitors might be outbidding us, etc. Basically, help me not panic and work through the data logically.”
If things are going exceptionally well, I don’t just celebrate – I ask why: “One of our Instagram ad campaigns is outperforming all others by 3x. Help me analyze what factors could be contributing – is it the audience, creative, time of day, placement? How can I apply these learnings across other campaigns to lift their performance too?”
For Google Analytics insights, I prompt: “How can I use Google Analytics (or GA4) to complement what I see in Google Ads and Facebook Ads dashboards? For example, identifying if certain demographics or channels lead to higher average order value or better retention, and then feeding that insight back into my ad targeting or creative strategy.”
On the Meta side (Facebook/Instagram), I might ask: “Break down the key metrics in Meta Ads Manager and what each tells me. Specifically, if my Frequency is very high and my CPM is rising, what does that signal and what actions should I take to maintain performance (e.g., refresh creative, expand audience)?”
If I’m trying to improve quality scores/relevancy, I prompt: “My Google Ads Quality Score or Facebook Relevance Score is mediocre for a key ad. What steps can I take to improve it? (Looking for answers like: ensure ad text closely matches keywords/audience, improve landing page relevance and load time, use more granular ad groups, etc.) and how will each step potentially impact performance?”
Lastly, I often use AI to stay proactive: “Based on these performance metrics trends (describe a scenario, e.g., steadily increasing CPA, stable CTR, flattening conversion rate), what proactive changes would you recommend to keep improving results before things plateau or decline? In other words, help me anticipate tomorrow’s problems and address them today.”

A/B Testing

Testing is in my DNA – but it can also be a double-edged sword if not done right. Only about one in every seven A/B tests actually results in a winning improvementnngroup.comvwo.com, so I’ve learned to be thoughtful about what I test and how. My tone in these prompts is that of a curious experimenter with a strategic mind. I use AI to generate test ideas and to make sense of test results, ensuring we focus on experiments that have real revenue impact:

To brainstorm test ideas, I prompt: “Give me 5 A/B test ideas to improve our website’s conversion rate or ad performance. Think about things like headline vs. headline, image styles, call-to-action text, etc., that could meaningfully impact whether a visitor converts to a customer.”
When deciding what to test first, I ask: “Based on typical e-commerce best practices, which should I test first for a quick win: the product page layout, the call-to-action button color/text, the checkout flow, or something else? Provide reasoning – I want the highest revenue impact with the least effort to start.”
For ad creative tests, I might say: “I have two very different ad concepts for the same audience – one is a heartfelt story, the other is a snappy discount offer. How can I structure an A/B test on Facebook to fairly compare their performance? (e.g., same audience, same budget, rotate evenly) and what metrics should I focus on beyond CTR and conversion rate to judge the winner?”
If I need to ensure statistical significance, I prompt: “Explain to me how to determine if an A/B test result is statistically significant. For example, if Variation A got 50 conversions out of 1000 visitors and Variation B got 55 out of 1000, how do I know if B truly beat A or if it’s just chance? (Feel free to walk through it like I’m not a stats expert, focusing on the concepts rather than raw math.)”
When a test fails or is inconclusive, I ask: “If an A/B test doesn’t show a clear winner, what should I do next? Give me some options: e.g., iterate on a new hypothesis, look at segments (maybe one version worked better on mobile), or possibly that the thing I tested just wasn’t impactful. Basically, how to learn and move forward even without a win.”
To avoid testing pitfalls, I prompt: “What are common mistakes in A/B testing I should avoid? I’ve heard things like testing too many changes at once or ending tests too early. Give me a list of pitfalls and a brief explanation for each so I can be mindful when running experiments.”
For landing page tests specifically, I use: “Suggest an A/B test for our landing page that could help increase conversions. It could be testing a different hero image, a shorter vs longer product description, trust badges vs none, etc. Describe why each might make a difference for a user deciding to buy.”
On the ads front, I ask: “How can I use A/B testing to improve my Google Ads? (e.g., testing two different ad copies, or two bidding strategies). Provide an example of a test I might run on Google Ads and what outcome would determine a winner (like higher click-through rate or conversion rate).”
I might run multivariate tests, so I prompt: “Explain the difference between A/B testing and multivariate testing in simple terms. And given my site traffic is on the lower side, should I stick to A/B tests? How do I decide which testing method will yield meaningful results without taking forever?”
If I want to test pricing or offers, I ask carefully: “Is it ever a good idea to A/B test pricing or promotional offers with my audience? If yes, how might I set up such a test ethically and safely (so I don’t upset customers seeing different prices)? If no, what are some alternative ways to gauge price sensitivity or offer appeal?”
To keep track of test results, I prompt: “Help me create a simple template or format for documenting A/B tests and their outcomes. What key info should I record each time (like hypothesis, duration, sample size, result, next action)? Having a consistent log will help with pattern recognition over time.”
If I find too many things to test, I use AI to focus: “I have a list of 20 potential A/B tests I could run on my site and ads. How might I prioritize them? Maybe score them by potential impact and ease. Let’s say some tests are as simple as changing a headline, and others as complex as a full page redesign – help me decide an order that makes sense.”
After a successful test, I ask what’s next: “We ran a test and Variation B beat A, significantly increasing our email sign-ups. What should I do following this win? (Expecting: implement B as default, see if any follow-up tests can amplify the gain, or test that element elsewhere like other pages). Basically, how to capitalize on a win and not lose momentum.”
Lastly, for inspiration, I prompt: “Tell me a short story of a DTC brand that used A/B testing to unlock huge growth, to inspire my team. Even if fictional or based on real cases, illustrate how a small test (like a different headline or ad image) ended up dramatically improving their revenue, reinforcing why we invest time in testing.”

CRO (Conversion Rate Optimization)

Driving traffic is only half the battle; converting that traffic is equally important. Yet many of us spend far more on acquisition than on optimization – in fact, companies on average spend $1 on CRO for every $92 on driving trafficinvespcro.com. That stat blew my mind and motivates me to squeeze more juice from the visitors we already get. In this section, my prompts focus on improving the on-site experience and conversion funnel. The tone is empathetic to the user experience and focused on practical tweaks that boost sales:

To start a CRO audit, I ask: “Imagine you’re browsing my DTC website for the first time. Identify anything that might cause friction or hesitation in the buying process. It could be unclear copy, lack of trust signals, confusing navigation, etc. List the top 5 issues and suggest how I could fix each to improve conversions.”
For checkout optimization, I prompt: “What are common reasons shoppers abandon their cart during checkout, and how can I address them on my site? (For example: unexpected fees – maybe show shipping upfront; too much form fields – simplify or offer express checkout; lack of payment options – add more methods, etc.) Tailor the advice as if for a small DTC brand.”
If mobile conversion is lagging, I ask: “Our mobile traffic conversion rate is much lower than desktop. Help me figure out why. What should I check on the mobile version of our site? (Think load times, mobile-friendly design, easy click targets, etc.) And list improvements that specifically cater to mobile users to boost conversions.”
For landing page CRO, I prompt: “Take our main landing page and suggest two different versions to test: Version A: a minimalist approach (less text, big images, one clear CTA); Version B: a detailed approach (more info, FAQs on page, multiple CTAs). How might each appeal to different visitor types, and which do you hypothesize could convert better for our product?”
To leverage social proof and trust, I ask: “What elements can I add to our website to increase trust and conversions? I’m thinking of things like customer reviews, star ratings, influencer endorsements, trust badges (e.g., money-back guarantee, secure checkout icons). Recommend which might have the biggest impact and how to implement them without cluttering the design.”
For site speed and performance, I prompt: “Explain how site speed affects conversion rate in simple terms. (I recall even a 1-second delay can hurt conversions significantly.) What quick wins might improve my site’s loading times? And how can I measure if those speed improvements lead to better conversion rates?”
If I have a content or UX change in mind, I might test its impact: “I’m considering adding a short explainer video to our product page. How might this affect conversion rate (what are the pros and cons)? And if I do add it, what’s a way to A/B test or measure if it’s helping or hurting sales, considering video might distract some users but persuade others?”
When optimizing for average order value (AOV), I ask: “What are some effective ways to increase AOV on a DTC e-commerce site? I’m looking for CRO tactics like product bundles, upsell prompts at checkout (‘you might also like’ suggestions), or free shipping thresholds. Suggest a few strategies and how to implement them without annoying customers.”
For lead capture vs. direct sale, I prompt: “Our site’s main goal is sales, but should I also focus on capturing emails for those who aren’t ready to buy? What’s a smart way to introduce an email sign-up (like a pop-up with a discount offer, or a subtle sidebar) that could increase our overall conversion funnel (maybe those people buy later via email)? Basically, how to convert some of those ‘not now’ visitors into future customers.”
If I’m unsure what to optimize, I ask the AI to help prioritize: “Here are a few conversion issues I know of: low product page engagement, lots of people dropping off at shipping info page, few repeat customers. Which of these should I tackle first for the biggest revenue lift, and what changes might you suggest for that area?”
For CRO beyond the website, I ask: “How can I improve conversion rates within my ad funnel itself? For instance, optimizing the landing page that my Facebook ad traffic goes to (ensuring message match between ad and page), or using Facebook lead forms vs. landing page – what tends to convert better for collecting leads or purchases in a DTC context?”
On the topic of personalization, I prompt: “Suggest some simple personalization tactics that could boost conversion. For example, showing returning visitors a special greeting or their last viewed items, or changing the homepage banner based on whether the visitor came from Instagram vs. Google search. Something that makes the experience feel more tailored and thus more likely to convert.”
If I’ve made improvements, I ask the AI to project impact: “We improved our site (say, faster load, better checkout flow). What kind of conversion rate lift would be reasonable to expect from such changes for a typical DTC site? I want to set realistic expectations – like are we talking a few percentage points improvement or potentially doubling conversion rate? Use any known data or experience to speculate.”
Lastly, for CRO I remain holistic and customer-focused: “Give me a conversion optimization idea that also genuinely improves customer satisfaction. (E.g., simplifying checkout not just to boost conversions but because it’s a better experience.) I believe if we make the experience better for the user, the conversions will follow – so I’d love an idea that aligns with that philosophy.”

Email/Retargeting

They say “the fortune is in the follow-up,” and I couldn’t agree more. Email and retargeting campaigns often convert people who didn’t buy on the first visit, dramatically lifting overall revenue. In fact, email marketing can deliver an average of $36 return for every $1 spentemailtooltester.com, making it one of the highest-ROI channels. And retargeting ads are powerful – research shows retargeted visitors are 70% more likely to convert than cold prospectssaleslion.io. My tone here is warm and persistent, focused on nurturing leads rather than hard selling. I use these prompts to craft follow-ups that feel helpful and personalized, nudging potential customers toward a purchase:

For cart abandonment emails, I prompt: “Help me write a friendly yet persuasive cart abandonment email. The customer left behind [Product] in their cart. The tone should be understanding (‘we noticed you left something’), maybe offer a small incentive (like a discount or free shipping), and include a clear call-to-action to complete the purchase.”
To plan a retargeting ad sequence, I ask: “Outline a simple retargeting campaign for people who visited our site but didn’t buy. What should the first ad show vs. the second ad a few days later? For example: Ad 1 could remind them of the product they viewed (maybe a carousel of top products if we’re not sure), Ad 2 could highlight social proof or a limited-time offer. Make it feel like a gentle nudge rather than aggressive sales.”
When writing retargeting ad copy, I prompt: “Draft a Facebook ad for retargeting recent site visitors. It should acknowledge that they showed interest (“Still thinking it over?”) and remind them of why our product is great. Possibly mention our hassle-free return policy or guarantee to alleviate fears, and invite them back to checkout.”
For a post-purchase email (to drive repeat business or referrals), I ask: “What’s a good follow-up email to send a customer a week after their purchase? I’d like to thank them, perhaps give them tips on using the product or solicit a review if they’re happy. Also maybe subtly encourage them to refer a friend or consider another product, but without being pushy – more like sharing value and building the relationship.”
To re-engage lapsed customers, I prompt: “Compose an email for customers who bought from us 6+ months ago but haven’t returned. Tone: warm and we-miss-you vibe. Perhaps offer an incentive to come back (like a special discount or showing them new products they might like). Emphasize we value them and would love to have them back.”
For email subject lines, I might say: “Give me 5 compelling subject lines for a promotional email about our new collection launch. They should be concise, intriguing, and avoid spammy all-caps or too many emojis. For example, something like ‘New arrivals just dropped – sneak a peek 👀’ but I’d love a variety of options to choose from.”
If I’m running a win-back ad, I ask: “What would be a good Facebook/Instagram retargeting ad approach for past customers who haven’t purchased in a while? Should I highlight new products, offer a loyalty discount, or maybe showcase how our brand has evolved? Draft an ad copy idea that feels like we’re inviting an old friend to check out what’s new.”
For sequencing between email and ads, I prompt: “How should I coordinate my email marketing with my retargeting ads? For example, if someone joins our email list (lead magnet) but hasn’t bought, what sequence of emails and Facebook ads could work together to convert them? Suggest a brief timeline, like Day 0 welcome email, Day 2 introduction ad, Day 4 educational content email, Day 7 offer ad, etc.”
To add a personal touch at scale, I ask: “Help me write a templated personal outreach email that I can send to high-value prospects who visited the pricing page but didn’t sign up (assuming I have their email via an opt-in). It should feel one-to-one, maybe from the founder’s voice (my voice), asking if they have any questions or need help deciding, and highlighting that we’d love to have them as part of our brand community.”
For holiday or seasonal retargeting, I prompt: “Draft a retargeting ad that plays on the current season or holiday. E.g., if it’s spring: ‘Spring cleaning your wardrobe? Don’t forget the item you liked on our site!’ or if it’s holiday season: tie in gifting. Use a timely angle to re-engage folks who showed interest earlier in the year.”
In building our email welcome series, I ask: “What should my 3-part welcome email series contain for new subscribers who haven’t purchased yet? Outline Email 1 (a warm welcome and brand story), Email 2 (value – maybe tips or best-selling products), Email 3 (an exclusive discount or strong call-to-action to make their first purchase). The goal is to convert them by the end of the series, but also make them feel genuinely connected with our brand mission.”
If I worry about overdoing it, I prompt: “How can I find the right frequency for retargeting ads and emails so I stay top-of-mind but don’t annoy potential customers? Provide some guidance like “X emails in Y days” or “retargeting ad frequency cap of Z impressions per week,” along with the rationale. Basically, how to follow up persistently but respectfully.”
For content of retargeting, I might ask: “Aside from ‘buy now’, what other types of content can I use in retargeting to add value? For example, should I sometimes retarget with a blog post or a customer testimonial video instead of a product ad, to build trust? Give me an idea or two for mixing up retargeting content to avoid ad fatigue and build a relationship.”
Finally, I often seek to ensure consistency across touchpoints: “Review this scenario: a user visits the site, gets a retargeting ad, and also is on our email list. How do I make sure the messaging feels cohesive and not like three different departments shouting at them? Suggest how I can align the copy/tone and timing so the user feels like it’s a seamless conversation – for instance, the email and ad might even reference each other (‘we sent you a little tip in email too!’).”

Bonus AI Ad Agent Prompt

This last prompt is a special one – it’s like having a virtual AI marketing assistant on call. I use a prompt like this when I want a comprehensive strategy or audit from the AI, almost as if I hired a digital marketing expert. It ties everything together: strategy, creative, targeting, optimization. Use this prompt to have the AI step into the shoes of your “Ad Agent” and generate a holistic plan for your brand:

**“You are my AI Advertising Agent, an expert in Google and Meta ads with a track record of scaling DTC brands. I will provide you information about my brand, goals, and performance, and you will respond with a thorough plan.

First, summarize any relevant insights from the brand info I give (market niche, customer base, past ad results). Then, create a step-by-step strategy to increase our revenue: include campaign ideas, target audience suggestions, creative angles, budget allocation, and any recommended changes to our website or email marketing that would help our ads convert better.

Finally, highlight the expected impact of this plan and any potential risks or things to watch out for.

Here is my brand’s info to get started: [Insert your brand’s details and data here for the AI].”**

(I love this prompt because it effectively turns the AI into a marketing consultant. You can paste in your specific context – like “We sell organic pet food subscriptions, $500k annual revenue, struggling on Facebook Ads lately with rising CPA, etc.” – and the AI will generate a tailored game plan. It’s a powerful way to synthesize all the elements we covered above into one cohesive strategy.)

FAQ

Q: How do I use these prompts with AI tools?
A: You can copy and paste these prompts into your AI chat tool of choice (like ChatGPT or another AI assistant). I often tweak the details in brackets – for example, replace [Product] or [Brand] with your actual product name or specifics about your business. The key is to be as specific as possible when giving context to the AI. If the response isn’t useful on the first try, don’t worry – you can refine the prompt or ask follow-up questions. Think of it as a conversation with your strategy assistant; sometimes you’ll add more info (“Actually, our budget is smaller” or “Assume our audience is mainly Gen Z”) to get a more tailored answer.

Q: Do these prompts work for any industry or only DTC brands?
A: I wrote these with DTC e-commerce brands in mind – typically physical product brands that sell online directly to consumers. That said, many principles here are universal. If you’re in SaaS or B2B or another area, you might need to adjust the wording. (For example, “customer” might become “client” or the focus might shift from online purchases to lead generation.) The beauty of AI prompts is that you can experiment. Try the prompts as is, see the response, and if something isn’t relevant, you can always clarify your industry or goals and ask the AI to regenerate the advice in that context.

Q: What if the AI gives me generic or inaccurate answers?
A: It’s true that AI can sometimes produce generic suggestions (or occasionally factually incorrect ones). To get high-quality answers, make sure you provide enough context in your prompt – the more you treat the AI as if it’s a team member who needs background, the better. For example, telling it, “We ran X campaign and saw Y result, now Z is happening – what do we do?” yields a more specific answer than a very broad question. If you still get generic advice (“increase your budget” or “make better creatives” – yeah, thanks Captain Obvious!), you can prompt the AI to go deeper: “Can you elaborate on that?” or “Give me 3 concrete examples or steps.” Don’t be afraid to iterate. Also, always cross-check important decisions with your own knowledge or a human expert – AI is a great aide, but your intuition and experience matter too.

Q: How often should I be using prompts like these?
A: In my own workflow, I use them almost daily. For instance, on Mondays I might use strategy prompts to plan the week’s focus. During creative brainstorming, I’ll use a bunch of creative prompts. After campaigns run, I use performance prompts to analyze results. The frequency really depends on your needs, but there’s no harm in using them regularly – AI doesn’t get tired of your questions! Just remember that every prompt is a tool to augment your thinking. You don’t have to follow the AI’s output blindly. Use it to spark ideas, explore possibilities, and save time. Over time, you’ll internalize some of this prompting process and it will start to feel like second nature to ask these kinds of questions whenever you face a challenge or decision.

Q: Will AI replace the need for a marketing team or agency?
A: I get this question a lot, and as a founder who’s deeply into AI, my take is: AI is a tool, not a replacement for the human touch. These prompts can make you incredibly efficient – you might get insights in minutes that would have taken hours of research. But you (or your team) still have to implement, experiment, and add the creative spark and strategic judgment. Think of AI like a super-smart collaborator who works 24/7. It can analyze data, generate ideas, and even write drafts, but it can’t truly understand your brand’s soul or your customers’ nuanced emotions the way you do. Use AI to level-up your team, not to replace them. In fact, sharing these prompts with your team can empower everyone to make more data-driven, creative decisions. In the end, the best results come from humans and AI working together – your vision and experience combined with AI’s speed and pattern recognition.

Conclusion

I hope these 100 prompts fuel your marketing efforts and spark new ideas. They’ve certainly helped me break through writer’s block and strategic ruts countless times. Remember, the goal isn’t to just blindly follow AI suggestions – it’s to engage in a dialogue that refines your own thinking. As an impact-driven founder, you have a vision for your brand and the change you want to create. Use these prompts to stress-test that vision, explore “what if” scenarios, and ultimately craft ad campaigns that not only drive revenue, but also deepen the relationship with your customers.

Reading through these, you might feel excited and a bit overwhelmed – and that’s okay. My advice is to start small. Pick one or two prompts from a category that resonates most with where your business is today. Try them out, see what responses you get, and implement one idea the AI suggests. You might be surprised at how quickly you can go from prompt, to insight, to action, to tangible results.

Finally, I’d love to hear how you put these into practice. Every brand and every campaign is a learning opportunity. If you want to brainstorm more or need guidance tailoring these prompts to your unique situation, I’m here to help. Feel free to book a call with me to talk through your goals and challenges – sometimes a 30-minute chat can unlock a breakthrough. Here’s my personal scheduling link to make it easy: https://calendly.com/nick-761/leadership-and-guidance-intro-session-clone.

Happy prompting, and here’s to your growth and success!

References:

Nielsen Study – Nielsen Catalina Solutions (2017): Contribution of Creative to Sales Uplift. (Referenced via Recast blog: “47% of the campaign’s contribution to sales was attributable to Creative.”) getrecast.com
Invesp CRO Statistics – Invesp (2024): 40 Important Conversion Rate Optimization Stats. (Notably: Companies spend just $1 on CRO for every $92 on customer acquisition.) invespcro.com
Email Marketing ROI – EmailToolTester Research (2025): Email Marketing ROI Overview. (Finding: On average, email marketing returns about $36 for every $1 spent.) emailtooltester.com
VWO A/B Testing Data – VWO Blog (2025): CRO Industry Insights from Our Survey. (Revealed that roughly one in every seven A/B tests is a winning test.) vwo.com
Retargeting Effectiveness – Outgrow via SalesLion (2022): Retargeting Impact on Conversions. (Research shows retargeted visitors are 70% more likely to convert than non-retargeted visitors.)

Nick Rosenheim